calculation of ostu threshold while computing PFTAS descriptor

[Arvind Kumar]

 Hi all,

Please someone explain me, why we are only considering gray level threshold while calculating PFTAS features over color images in mahotas. It should be computed independently over each RGB channel.

But in the implementation we are using only single gray level otsu threshold.

Thank You.

[Luis Pedro Coelho]

PFTAS is a grey-level feature, but can be computed on 3D images.

As mahotas uses numpy arrays, if you pass it an array (s0,s1,3), it is going to treat that as a 3D image, not an RGB image of size s0 x s1.

You have to iterate over the different channels yourself.

HTH,

Luis

Luis Pedro Coelho | Fudan University | http://luispedro.org

https://orcid.org/0000-0002-9280-7885

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[Arvind Kumar]

Thanks for replying Luis.

Would you please suggest that whether it would be better to use global grey level threshold or threshold for each channel in case of RGB images.

As Mahotas's pftas descriptor provide support for color images, but it uses grey level threshold only. Is there some specific reason for this approach?

[Luis Pedro Coelho]

On Mon, 29 Oct 2018, at 6:26 AM, Arvind Kumar wrote:

Thanks for replying Luis.

Would you please suggest that whether it would be better to use global grey level threshold or threshold for each channel in case of RGB images.

Almost always, it would say it should be channel specific.

As Mahotas's pftas descriptor provide support for color images, but it uses grey level threshold only. Is there some specific reason for this approach?

As I wrote, there is no support for color images. mahotas is interpreting the RGB image as a volume (Which is probably not what you want!)

HTH,

Luis

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Luis Pedro Coelho | Fudan University | http://luispedro.org

https://orcid.org/0000-0002-9280-7885